Simulations of muon imaging with the LANL GMT detector for spent nuclear fuel cask content verification

J Jesus J. Valencia (Department of Nuclear Engineering, University of New Mexico 1 , Albuquerque, New Mexico 87131,) J Jacob W. Sperow (Department of Nuclear Engineering, University of New Mexico 1 , Albuquerque, New Mexico 87131,) J J. Matthew Durham (Los Alamos National Laboratory 2 , Los Alamos, New Mexico 87545,) A Andrew G. Osborne (Department of Mechanical Engineering 3 , Colorado School of Mines, Golden, Colorado 80401,) C Chris L. Morris (Los Alamos National Laboratory 2 , Los Alamos, New Mexico 87545,) D Daniel Poulson (Los Alamos National Laboratory 2 , Los Alamos, New Mexico 87545,) A Adam A. Hecht (Department of Nuclear Engineering, University of New Mexico 1 , Albuquerque, New Mexico 87131,)

Abstract

Atmospheric muons are typically high energy, highly penetrating charged particles. They interact with matter primarily through multiple Coulomb scatterings. Muon scattering intensities can be used to characterize the density and atomic number of the matter that they pass through. Previously, the Los Alamos National Laboratory (LANL) muon tomography team performed muon imaging of the partially filled MC-10 spent nuclear fuel (SNF) cask at Idaho National Laboratory (INL). This experiment demonstrated the feasibility of muon imaging for the verification of spent fuel container contents. That original effort used the mini muon tracker array, consisting of two arrays of drift tubes on either side of the SNF cask. The reconstructed image quality was limited by statistics, largely due to low muon flux at high zenith angles. A LANL led team will perform new measurements with a larger array, the Giant Muon Tracker (GMT), to improve data collection rates and statistics. In this work, simulations were performed with the GMT near the partially filled INL MC-10 cask. For more general fuel diversion detection, a full MC-10 cask and casks with a singular missing fuel bundle were also simulated. To understand minimum measurement times needed for missing bundle identification, 100 000 to millions of tracked muons (corresponding to 1.4 days to several weeks measurement time) were analyzed. Simulated images were then analyzed visually and numerically to explore techniques designed to minimize the collection time needed to identify the diversion of fuel in each scenario.

Article Details

Volume / Issue Vol. 138, Issue 18
Published November 14, 2025
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (7)

J

Jesus J. Valencia

Department of Nuclear Engineering, University of New Mexico 1 , Albuquerque, New Mexico 87131,

J

Jacob W. Sperow

Department of Nuclear Engineering, University of New Mexico 1 , Albuquerque, New Mexico 87131,

J

J. Matthew Durham

Los Alamos National Laboratory 2 , Los Alamos, New Mexico 87545,

A

Andrew G. Osborne

Department of Mechanical Engineering 3 , Colorado School of Mines, Golden, Colorado 80401,

C

Chris L. Morris

Los Alamos National Laboratory 2 , Los Alamos, New Mexico 87545,

D

Daniel Poulson

Los Alamos National Laboratory 2 , Los Alamos, New Mexico 87545,

A

Adam A. Hecht

Department of Nuclear Engineering, University of New Mexico 1 , Albuquerque, New Mexico 87131,